Soil map

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Soil map from "Geography of Ohio," 1923 Geography of Ohio - DPLA - aaba7b3295ff6973b6fd1e23e33cde14 (page 23) (cropped).jpg
Soil map from "Geography of Ohio," 1923

A soil map is a geographical representation showing diversity of soil types or soil properties (soil pH, textures, organic matter, depths of horizons etc.) in the area of interest. [1] It is typically the result of a soil survey inventory, i.e. soil survey. Soil maps are most commonly used for land evaluation, spatial planning, agricultural extension, environmental protection and similar projects. [2] Traditional soil maps typically show only general distribution of soils, accompanied by the soil survey report. Many new soil maps are derived using digital soil mapping techniques. Such maps are typically richer in context and show higher spatial detail, yet are not necessarily more accurate, than traditional soil maps. Soil maps produced using (geo)statistical technique can also include an estimate of the model uncertainty. [3]

Contents

An example of a traditional soil map showing soil mapping units, described soil profiles and legend. Fig sample BSMC.jpg
An example of a traditional soil map showing soil mapping units, described soil profiles and legend.

In the digital era, soil maps come in various digital vector and raster formats and are used for various applications in geosciences and environmental sciences. In this context, soil maps are only visualizations of the soil resource inventories commonly stored in a Soil Information System (SIS), of which the major part is a Soil Geographical Database. A Soil Information System is basically a systematic collection of complete (values of the target soil variables available for the whole area of interest) and consistent gridded or vector soil property and/or class maps with an attached report, user manual and/or metadata. A SIS is in the most cases, a combination of polygon and point maps linked with attribute tables for profile observations, soil mapping units and soil classes. Different elements of an SIS can be manipulated and then visualized against the spatial reference (grids or polygons). For example, soil profiles can be used to make spatial prediction of different chemical and physical soil properties. [4] In the case of pedometric mapping, both predictions and simulations (2D or 3D — geographic location plus soil depth) of values are visualized and used for GIS modeling. [5]

Classification of types of soil maps based on spatial representation and variable type. Fig soilmap types.png
Classification of types of soil maps based on spatial representation and variable type.

It is important to distinguish between the following types of soil maps:

One should also distinguish soil maps that display primary soil attributes, i.e. the soil attributes originally described or measured in the field, and the soil inferred attributes also called secondary soil information, i.e. the properties of the soils in the context of the soil use: soil production capacity, soil reaction to certain use, soil functions, soil degradation measures etc.

See also

Related Research Articles

<span class="mw-page-title-main">Geographic information system</span> System to capture, manage, and present geographic data

A geographic information system (GIS) consists of integrated computer hardware and software that store, manage, analyze, edit, output, and visualize geographic data. Much of this often happens within a spatial database; however, this is not essential to meet the definition of a GIS. In a broader sense, one may consider such a system also to include human users and support staff, procedures and workflows, the body of knowledge of relevant concepts and methods, and institutional organizations.

<span class="mw-page-title-main">Digital elevation model</span> 3D computer-generated imagery and measurements of terrain

A digital elevation model (DEM) or digital surface model (DSM) is a 3D computer graphics representation of elevation data to represent terrain or overlaying objects, commonly of a planet, moon, or asteroid. A "global DEM" refers to a discrete global grid. DEMs are used often in geographic information systems (GIS), and are the most common basis for digitally produced relief maps. A digital terrain model (DTM) represents specifically the ground surface while DEM and DSM may represent tree top canopy or building roofs.

A coverage is the digital representation of some spatio-temporal phenomenon. ISO 19123 provides the definition:

A GIS file format is a standard for encoding geographical information into a computer file, as a specialized type of file format for use in geographic information systems (GIS) and other geospatial applications. Since the 1970s, dozens of formats have been created based on various data models for various purposes. They have been created by government mapping agencies, GIS software vendors, standards bodies such as the Open Geospatial Consortium, informal user communities, and even individual developers.

<span class="mw-page-title-main">Geologic modelling</span> Applied science of creating computerized representations of portions of the Earths crust

Geologic modelling,geological modelling or geomodelling is the applied science of creating computerized representations of portions of the Earth's crust based on geophysical and geological observations made on and below the Earth surface. A geomodel is the numerical equivalent of a three-dimensional geological map complemented by a description of physical quantities in the domain of interest. Geomodelling is related to the concept of Shared Earth Model; which is a multidisciplinary, interoperable and updatable knowledge base about the subsurface.

Address geocoding, or simply geocoding, is the process of taking a text-based description of a location, such as an address or the name of a place, and returning geographic coordinates, frequently latitude/longitude pair, to identify a location on the Earth's surface. Reverse geocoding, on the other hand, converts geographic coordinates to a description of a location, usually the name of a place or an addressable location. Geocoding relies on a computer representation of address points, the street / road network, together with postal and administrative boundaries.

A GIS software program is a computer program to support the use of a geographic information system, providing the ability to create, store, manage, query, analyze, and visualize geographic data, that is, data representing phenomena for which location is important. The GIS software industry encompasses a broad range of commercial and open-source products that provide some or all of these capabilities within various information technology architectures.

Digital soil mapping (DSM) in soil science, also referred to as predictive soil mapping or pedometric mapping, is the computer-assisted production of digital maps of soil types and soil properties. Soil mapping, in general, involves the creation and population of spatial soil information by the use of field and laboratory observational methods coupled with spatial and non-spatial soil inference systems.

Inference is a process of deriving logical conclusion from the basis of empirical evidence and prior knowledge rather than on the basis of direct observation. Soil inference system (SINFERS) is the term proposed by McBratney et al. (2002) as a knowledge base to infer soil properties and populate the digital soil databases. SINFERS takes measurements with a given level of certainty and infers data that is not known with minimal uncertainties by means of logically linked predictive functions. These predictive functions, in a non-spatial context are referred to as pedotransfer functions. The basic assumption underlying SINFERS is that if one knows or is able to predict the basic fundamental properties of a soil, one should be able to infer all other physical and chemical properties using PTFs. Pedotransfer functions relate basic soil properties to other more difficult or expensive to measure soil properties by means of regression and various data mining tools. Crucial to the operation of SINFERS are reliable inputs, the ability to link basic soil information, and the quantification of uncertainty.

<span class="mw-page-title-main">Heightmap</span> Type of raster image in computer graphics

In computer graphics, a heightmap or heightfield is a raster image used mainly as Discrete Global Grid in secondary elevation modeling. Each pixel stores values, such as surface elevation data, for display in 3D computer graphics. A heightmap can be used in bump mapping to calculate where this 3D data would create shadow in a material, in displacement mapping to displace the actual geometric position of points over the textured surface, or for terrain where the heightmap is converted into a 3D mesh.

gvSIG Desktop application for working with geographic data

gvSIG, geographic information system (GIS), is a desktop application designed for capturing, storing, handling, analyzing and deploying any kind of referenced geographic information in order to solve complex management and planning problems. gvSIG is known for having a user-friendly interface, being able to access the most common formats, both vector and raster ones. It features a wide range of tools for working with geographic-like information.

<span class="mw-page-title-main">Field (geography)</span> Property that varies over space

In the context of spatial analysis, geographic information systems, and geographic information science, a field is a property that fills space, and varies over space, such as temperature or density. This use of the term has been adopted from physics and mathematics, due to their similarity to physical fields (vector or scalar) such as the electromagnetic field or gravitational field. Synonymous terms include spatially dependent variable (geostatistics), statistical surface ( thematic mapping), and intensive property (physics and chemistry) and crossbreeding between these disciplines is common. The simplest formal model for a field is the function, which yields a single value given a point in space (i.e., t = f(x, y, z) )

<span class="mw-page-title-main">International Soil Reference and Information Centre</span> Science-based foundation

ISRIC - World Soil Information, also known as the International Soil Reference and Information Centre, is a science-based independent foundation. It was established in 1966, following a recommendation by the International Society of Soil Science and the United Nations Educational, Scientific and Cultural Organization (UNESCO). ISRIC's role is to compile and disseminate information regarding soil resources globally, contributing to the understanding and resolution of key global issues.

<span class="mw-page-title-main">3D city model</span>

A 3D city model is digital model of urban areas that represent terrain surfaces, sites, buildings, vegetation, infrastructure and landscape elements in three-dimensional scale as well as related objects belonging to urban areas. Their components are described and represented by corresponding two- and three-dimensional spatial data and geo-referenced data. 3D city models support presentation, exploration, analysis, and management tasks in a large number of different application domains. In particular, 3D city models allow "for visually integrating heterogeneous geoinformation within a single framework and, therefore, create and manage complex urban information spaces."

A geographic data model, geospatial data model, or simply data model in the context of geographic information systems, is a mathematical and digital structure for representing phenomena over the Earth. Generally, such data models represent various aspects of these phenomena by means of geographic data, including spatial locations, attributes, change over time, and identity. For example, the vector data model represents geography as collections of points, lines, and polygons, and the raster data model represent geography as cell matrices that store numeric values. Data models are implemented throughout the GIS ecosystem, including the software tools for data management and spatial analysis, data stored in a variety of GIS file formats, specifications and standards, and specific designs for GIS installations.

Cartographic generalization, or map generalization, includes all changes in a map that are made when one derives a smaller-scale map from a larger-scale map or map data. It is a core part of cartographic design. Whether done manually by a cartographer or by a computer or set of algorithms, generalization seeks to abstract spatial information at a high level of detail to information that can be rendered on a map at a lower level of detail.

Geographic information systems (GIS) play a constantly evolving role in geospatial intelligence (GEOINT) and United States national security. These technologies allow a user to efficiently manage, analyze, and produce geospatial data, to combine GEOINT with other forms of intelligence collection, and to perform highly developed analysis and visual production of geospatial data. Therefore, GIS produces up-to-date and more reliable GEOINT to reduce uncertainty for a decisionmaker. Since GIS programs are Web-enabled, a user can constantly work with a decision maker to solve their GEOINT and national security related problems from anywhere in the world. There are many types of GIS software used in GEOINT and national security, such as Google Earth, ERDAS IMAGINE, GeoNetwork opensource, and Esri ArcGIS.

Pedometric mapping, or statistical soil mapping, is data-driven generation of soil property and class maps that is based on use of statistical methods. Its main objectives are to predict values of some soil variable at unobserved locations, and to access the uncertainty of that estimate using statistical inference i.e. statistically optimal approaches. From the application point of view, its main objective is to accurately predict response of a soil-plant ecosystem to various soil management strategies—that is, to generate maps of soil properties and soil classes that can be used for other environmental models and decision-making. It is largely based on applying geostatistics in soil science, and other statistical methods used in pedometrics.

<span class="mw-page-title-main">World Soil Museum</span> Museum in Wageningen, Netherlands

The World Soil Museum (WSM) displays physical examples of soil profiles (monoliths) representing major soil types of the world, from the volcanic ash soils from Indonesia to the red, strongly weathered soils from the Amazon region. The museum is managed by the International Soil Reference and Information Centre (ISRIC), an independent, science-based foundation. Physically, the museum is located on the campus of Wageningen University and Research Centre in Wageningen, The Netherlands.

This is a glossary of terms relating to computer graphics.

References

  1. Sarma, Jean-Paul Legros ; translated from the French by V.A.K. (2005). Mapping of the soil cover. Enfield, NH, USA: Science Publishers. ISBN   9781578083633.{{cite book}}: CS1 maint: multiple names: authors list (link)
  2. Basile, [by] Robert M. (1971). A geography of soils . Dubuque, Iowa: W.C. Brown Co. ISBN   9780697051516.
  3. Poggio, Laura; de Sousa, L.M.; Batjes, N.H.; Heuvelink, G.B.M; Kempen, B.; Ribeiro, E.; Rossiter, D. (June 2021). "SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty". SOIL. 7 (1): 217–410. doi: 10.5194/soil-7-217-2021 .
  4. Batjes, N.H.; Calisto, L.; de Sousa, D.M. (October 2024). "Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)". Earth System Science Data. 16 (10): 4735–4765. doi: 10.5194/essd-16-4735-2024 .
  5. Poggio, Laura; de Sousa, L.M.; Batjes, N.H.; Heuvelink, G.B.M; Kempen, B.; Ribeiro, E.; Rossiter, D. (June 2021). "SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty". SOIL. 7 (1): 217–410. doi: 10.5194/soil-7-217-2021 .
  1. Panagos, Panos; Jones, Arwyn; Bosco, Claudio; Kumar, P. S. Senthil (2011-09-01). "European digital archive on soil maps (EuDASM): preserving important soil data for public free access". International Journal of Digital Earth. 4 (5): 434–443. Bibcode:2011IJDE....4..434P. CiteSeerX   10.1.1.366.6371 . doi:10.1080/17538947.2011.596580. ISSN   1753-8947. S2CID   45799315.